FineReport

AUGUST 14, 2020

For open-source reporting tools, you can refer to this article? It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

TDAN

JULY 4, 2023

The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. You have the opportunity to participate […]

Data Collection 52

Data Collection Data Architecture Data Warehouse Data Strategy 52

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. This article will focus on how data engineers can improve their approach to data governance.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

Machine Learning 88

Machine Learning Modeling Metadata Recreation/Entertainment 88

Alation

APRIL 25, 2023

Where are we seeing the greatest success with data governance and how can we build on it? Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. This reduces wait time, conserves resources, and allows you to put that data to work for your business faster.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Data Virtualization

DECEMBER 22, 2022

Reading Time: 3 minutes We are naturally inclined to think that our relationship with data develops solely in the world > data > use direction, in which data captures what happens in the world, and we use data to understand events in the world.

Data Integration 52

Data Integration Management Data Warehouse Data Collection 52

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Alation

APRIL 25, 2023

Where are we seeing the greatest success with data governance and how can we build on it? Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. This reduces wait time, conserves resources, and allows you to put that data to work for your business faster.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Towards Data Science ).

Data Architecture 82

Data Architecture Data Lake Data Warehouse Metadata 82

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Cloudera

AUGUST 20, 2021

Analytical Outcome: CDP delivers multiple analytical outcomes including, to name a few, operational dashboards via the CDP Operational Database experience or ad-hoc analytics via the CDP Data Warehouse to help surface insights related to a business domain. A Robust Security Framework.

Strategy 100

Strategy Cost-Benefit Visualization Data Warehouse 100

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. The data governance, however, is still pretty much over on the data warehouse. Some for big data, some for data warehouses, etc. We have an article on this on Domino. By that point, they had all reached the same conclusion.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

For a sample of some of Dr. Kahneman’s recent work, check out this Harvard Business Review (HBR) article, “ Noise: How to Overcome the High, Hidden Cost of Inconsistent Decision Making.” Data science tinkering is typically accompanied by evidence for the merits of the exploration. Articulating process for data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

datapine

FEBRUARY 22, 2022

Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? The platform comprises three powerful components: the watsonx.ai

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Jet Global

JUNE 30, 2021

This article will outline the key financial, operation, and staffing performance indicators that a CEO should be tracking in 2021, as well as the benefits of tracking these using a dashboard to streamline the reporting process. This reduces the marginal cost of data collection and exponentially reduces implementation time.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

MARCH 22, 2023

By leveraging technology that automates tax data collection and processing, your team can produce more accurate reports, reduce risk, and free up time to focus on more strategic initiatives. Automated tax data collection dramatically reduces your reliance on other teams.

Reporting 52

Reporting Software Risk Enterprise 52

Jet Global

NOVEMBER 2, 2021

Those without KPIs are left without any valuable statistics, while those with established performance tracking dashboards are able to make data driven decisions. This article will cover a large number of different university KPIs, but mainly focus on financial university KPIs and staff & student university KPIs.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52